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8/6/2019 Aerodynamic Modulation Salford Uni
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Research into aerodynamic modulation of
wind turbine noise
Report by University of
Salford
URN 07/1235
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Prepared for Defra byDr. Andy Moorhouse, Malcolm Hayes, Dr. Sabine von Hnerbein,Ben Piper, Dr. Mags Adams
Research into Aerodynamic Modulationof Wind Turbine Noise:Final report
July 2007Contract no NANR233
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CONTENTS
1. Summary............................................................................................................3
2. Introduction........................................................................................................5
2.1. Aims and objectives...............................................................................52.2. Organisation of the project.....................................................................6
3. Survey of Local Authorities...............................................................................7
3.1. Scoping survey.......................................................................................8
3.2. Detailed survey ....................................................................................10
3.3. Survey results and analysis ..................................................................11
Number of complaints and complainants ............................................11
Prevalence of AM ................................................................................15
Significance of complaints...................................................................16
Comments on the use of complaint statistics.......................................19
Other factors arising from the survey ..................................................21
4. Further investigation of sites with AM ............................................................22
4.1. First site................................................................................................22
4.2. Second Site...........................................................................................25
4.3. Third Site .............................................................................................26
4.4. Fourth Site............................................................................................27
4.5. Conclusions from AM sites .................................................................28
5. Worldwide literature survey ............................................................................29
5.1. Search terms.........................................................................................29
5.2. Information sources .............................................................................30
5.3. Government reports and regulations....................................................31
5.4. Generation of wind turbine noise.........................................................325.5. Propagation of wind turbine noise .......................................................35
5.6. Amplitude Modulation of Wind Turbine Aerodynamic Noise............37
5.7. Psychoacoustics ...................................................................................40
6. Survey of manufacturers worldwide................................................................42
7. Conclusions......................................................................................................46
8. References........................................................................................................48
9. Appendix: Detailed survey questionnaire........................................................54
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1. Summary
The study described in this report has been commissioned by Defra, BERR (formerlyDTI) and CLG. It follows on from a report by the Hayes McKenzie Partnership to
DTI in 2005 in which reports of low frequency noise emission from windfarms were
investigated. Their report concluded that the complaints were not caused by low
frequency noise, but by amplitude modulation of aerodynamic noise (AM) from the
wind turbines. The term AM indicates aerodynamic noise from wind turbines, but
with a greater than normal degree of regular fluctuation at blade passing frequency,
typically once per second. The aims of this current study are to ascertain the
prevalence of AM on UK wind farm sites, to try to gain a better understanding of the
likely causes, and to establish whether further research into AM is required. The study
was carried out in four parts, a survey of local authorities with windfarms in their
areas, further investigation of sites for which AM was identified as a factor, a
literature review and a survey of wind turbine manufacturers.
The survey of local authorities was in two parts, a scoping survey aimed at identifying
problem sites, and a detailed survey to establish whether AM could have been a factor
in causing complaints. The response to both parts of the survey was 100%, although
full information was not available for all sites at the detailed stage. The results showed
that 27 of the 133 windfarm sites operational across the UK at the time of the survey
had attracted noise complaints at some point. An estimated total of 239 formal
complaints have been received about UK windfarm sites since 1991, 152 of which
were from a single site. The estimated total number of complainants is 81 over the
same sixteen year period. This shows that in terms of the number of people affected,
wind farm noise is a small-scale problem compared with other types of noise; for
example the number of complaints about industrial noise exceeds those about
windfarms by around three orders of magnitude. In only one case was the windfarm
considered by the local authority to be causing a statutory nuisance. Again, this
indicates that, despite press articles to the contrary, the incidence of windfarm noise
and AM in the UK is low.
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AM was considered to be a factor in four of the sites, and a possible factor in another
eight. Regarding the four sites, analysis of meteorological data suggests that the
conditions for AM would prevail between about 7% and 15% of the time. AM would
not therefore be present most days, although it could occur for several days running
over some periods. Complaints have subsided for three out of these four sites, in one
case as a result of remedial treatment in the form of a wind turbine control system. In
the remaining case, which is a recent installation, investigations are ongoing.
The literature review indicated that, although there has been much research into the
general area of aerodynamic noise it is a highly complex field, and whilst general
principles are understood there are still unanswered questions. Regarding the specific
phenomenon of AM there has been little research and the causes are still the subject of
debate. AM is not fully predictable at current state of the art. The survey of wind
turbine manufacturers revealed that, although there was considerable interest, few
have any experience of AM.
The low incidence of AM and the low numbers of people adversely affected make it
difficult to justify further research funding in preference to other more widespread
noise issues. On the other hand, since AM cannot be fully predicted at present, and its
causes are not fully understood we consider that it might be prudent to carry out
further research to improve understanding in this area.
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2. Introduction
In 2005 the DTI commissioned the Hayes McKenzie Partnership to investigate
claims in the press that infrasound or low frequency noise emitted by wind farms
were causing health effects. Their report, published in 2006, concluded that there
was no evidence of health effects arising from infrasound or low frequency noise
generated by wind turbines. The report went on to note that the cause of
complaints was not low frequency noise or infrasound, but was audible
modulation of aerodynamic noise, i.e. aerodynamic noise which displays a greater
degree of fluctuation than usual. This phenomenon is referred to as AM in the rest
of this report. This AM was, in some isolated circumstances, occurring in ways
not anticipated by the government guidance document on noise from windfarms
known as ETSU-R-97. The Government therefore took the view that more work
was required to determine whether or not AM is an issue which may require
attention in the context of the rating advice given in the ETSU guide.
2.1. Aims and objectives
The aims of this study are to ascertain the prevalence of AM from UK wind farm
sites, to try to gain a better understanding of the likely causes, and to establish
whether further research into AM is required.
The objectives of the study are as follows:
(a) To establish the levels and nature of the reported noise complaints received
across the UK relating to noise issues from wind farms, both historic and current,
and determine whether AM is a significant effect;
(b) To review and understand the level of knowledge/understanding that exists
throughout the world on AM, and whether AM can be predicted;
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2.2. Organisation of the project
The study has been organised into four main tasks in order to achieve these
objectives:
a. Survey of Local Authorities;
b. Further investigation into sites with AM
c. Worldwide literature search;
d. Survey of Manufacturers Worldwide;
Sections 3-6 of this report describe tasks a-d respectively, followed by overallConclusions in Section 7.
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3. Survey of Local Authorities
A two-stage survey of local authorities was conducted with the aim of establishing the
presence of noise complaints, in particular about AM, from UK windfarms. A
database of all operational wind farms in the UK was provided to us by BWEA. This
gave us a total of 136 wind farms that were operational at the end of December 2006
to investigate. Four of these are offshore sites, which were initially excluded from the
survey on the grounds that they are far from habitation, but were later included after it
emerged that one of them had in fact received complaints (which later turned out to be
from foghorns, not the wind turbines). The BWEA list includes some windfarms, that
are extensions of existing sites, as separate developments. Such extensions are not
considered as separate sites by the local authority, and so were merged together on the
database. The total number of separate windfarm sites then becomes 133, of which 4
are offshore. Smaller wind energy developments, for example single wind turbines,
were not included in the survey because there is no is no definitive list of such
developments and it would therefore be difficult to ensure we were dealing with a
representative sample.
The BWEA database also provided information about the number of wind turbines in
each wind farm, their capacity, the name of the developer, the country and county of
location within the UK and the LA responsible for giving planning permission.
We confirmed that noise nuisance is dealt with by either Unitary Authorities or
District Authorities and then identified specific contacts within each local authority.
It was felt that where possible we should identify a named individual within the local
authority rather than sending a general enquiry to the head of department or enquiry
email address. Using the membership list of the Institute of Acoustics we identified
names, email addresses and telephone numbers of Environmental Health Officers
within each local authority with expertise in noise and acoustics. We also used the
Noise Abatement Societys on-line database of local authority contacts for noise
complaints to identify contact details for local authorities which did not have
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individual members of the IoA. We also used a database of Local Authorities held at
the University of Salford. If no contact was found we directed our enquiries to the
head of the Pollution Control Section or Environmental Health. Any missing contacts
were identified by phone calls to the local authority.
On a map we identified all wind farms that were on local authority borders so that we
could check if any noise complaints were received by neighbouring local authorities.
47 windfarms were identified as being close to the border with a neighbouring
authority, and these authorities were added to the database of local authorities to be
contacted.
To respect confidentiality the names of individual windfarms will not be used in this
report, nor will the names of specific local authorities or their members of staff. Each
windfarm will be referred to by a letter or letters of the alphabet.
3.1. Scoping survey
The first stage of the survey, a scoping survey, aimed to identify those local
authorities who had received complaints about windfarm noise. The questionnaire
was sent out by email to named individuals and was designed to be as simple as
possible to answer with a simple Yes/No, so as to maximise the chances of a reply.
Several points on the questionnaire required careful consideration. One of the main
decisions was the question of how far back to go with complaints. It is known that
some early installations produced complaints about tonal noise from wind turbine
nacelles, which are not related to AM. After some discussion it was decided that to
specify a start date might weaken any conclusions that could be drawn. On the other
hand, not to specify any date could lead to inconsistencies in the responses. It was
therefore decided to specify that complaints should be included from any time since
the windfarms have been operational.
A copy of the final phase 1 questionnaire is shown in Figure 1.
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Dear NAME
We at Salford University in conjunction with Hayes McKenzie have been appointed by the UK
Government (funded by Defra, DTi, and DCLG) to undertake research into noise from
windfarms. For details of why this work was commissioned please see
http://www.dti.gov.uk/files/file35043.pdf . The aim of the work is to provide clearer advice to
planning authorities about wind turbine planning applications.
We would appreciate it if you could take a couple of minutes to answer the following
question.
Have you had any noise complaints about any of the wind farms in your area or any
windfarms in a bordering authorityany time since they have been operational?
If the answer is NO please respond by pressing REPLY in your browser window and simply
type NO. We will not trouble you further.
If the answer is YES please respond by pressing REPLY in your browser window and simply
list the names of the windfarms about which there have been noise complaints. If the answer
is yes then we will need to follow up with a further survey in which we will ask for further
details.
We appreciate your help with this matter as the Government wants a 100% response to this
question and would be grateful if you could reply by DATE.
Sincerely, Anne Marie Lavin
Sent on behalf of
Head of Survey of Local Authorities
Government Survey into Noise from Wind Turbines (REF: NANR233)
Dr Mags Adams
Senior Research Fellow
Acoustics Research Centre
University of Salford M5 4WT
Figure 1 Phase 1 scoping survey questionnaire
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After some follow up emails and, where needed, telephone reminders we were
successful in achieving a 100% response to the scoping survey.
3.2. Detailed survey
The aim of the detailed survey was to obtain information about the number and nature
of complaints, and in particular to establish the contribution of AM. Every local
authority that responded with a positive noise complaint in the scoping survey was
sent the detailed questionnaire, to be completed for each wind farm in their area for
which they had received noise complaints. In total, 23 LAs were contacted about 27
windfarms.
The detailed questionnaire was developed by the team at Salford, was reviewed by
EHOs on the Noise Working Group and by the Hayes McKenzie Partnership, and
then sent out via email to the Local Authorities. A complete copy of the final
questionnaire is given in the Appendix. The questions include a combination of open
and closed questions with tick-boxes to simplify responses where possible. It was
decided not to mention AM until the final question so as to encourage EHOs to
provide information about all noise complaints and not just to focus on those that
might fit the description of AM problems.
Details about the number of complaints and number of complainants were requested
along with detailed descriptions of the noise itself and the investigation that took
place. A list of terms to describe noise from wind turbines was provided and the
EHOs were requested to indicate which of them corresponded to the complaints they
had received from each wind farm. Details of any action that had been taken was also
requested. Finally, the EHO was asked to indicate whether they felt that the
complaint conformed to a description of Amplitude Modulation of Aerodynamic
Noise.
Local Authorities were asked to respond within a week and were sent a reminder
email and follow up phone calls as necessary.
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3.3. Survey results and analysis
We obtained a 100% response rate from both the scoping and detailed questionnaires.
However, complete information for the detailed survey was not always available. This
was particularly the case for complaints from the 1990s since many local authorities
did not keep computer records at that time.
Number of complaints and complainants
From the results of the scoping survey we determined that 27 out of the 133
windfarms operating in the UK at the time of the survey have attracted formal
complaints about noise. This represents 20% of the total, i.e. one in five windfarms
has attracted complaints about noise at some point. One other site, an offshore site,
received complaints about foghorns, and this case has been excluded in the statistics
since the wind turbines themselves did not generate the noise. These figures are based
on 100% returns from local authorities throughout the UK over the entire period since
the first windfarms became operational in 1991, and can therefore be treated as a
comprehensive and definitive picture of formal noise complaints about windfarms in
the UK.
Complete results obtained for the numbers of complaints, numbers of complainants,
and the years in which complaints were received are shown in Table 1. Note the
distinction between complainant and complaint, where complainant refers to the
individual who makes the complaint and complaint refers to each time they log a
complaint with the local authority. One complainant may make a number of
complaints and therefore the number of complaints can exceed the number of
complainants. In order to provide some context for the complaint histories the bottom
row ofTable 1 gives the number of sites on-line at the end of each year.
We have specific information on the number of complaints from 19 of the 27
windfarms. The total number of complaints received by local authorities relating to
these 19 sites was 206, 152 of which were received for a single windfarm. By
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excluding this untypical figure we see the number of noise complaints about each
windfarm varied between 1 and 10 with an average of 3. We can use this to estimate
the total number of complaints across the UK by assuming that this average number
also applies to the eight sites for which no specific complaint data was available. The
result of this projection is that the total number of complaints across the UK is
approximately 230 since records began, 152 of which were from a single site. These
statistics about the number of complaints should be treated with some caution because
there is not complete consistency in the way local authorities count complaints: some
would count several complaints from the same person as a single complaint, others
would log each separate complaint individually. For this reason it is probably more
reliable to count the number of premises affected, i.e. the number ofcomplainants as
described in the next paragraph.
We now consider the results for the number of complainants. The number of
complainants will generally be less than the number of complaints because the same
complainant may make several complaints. We have firm information about the
number of complainants from 16 sites, with a total of 53 complainants (these are the
entries in the rightmost column ofTable 1 without an asterisk). No complainant data
was available for the remaining 11 sites. For sites marked with an asterisk in the
rightmost column ofTable 1 the number of complainants was estimated. We did this
by making the conservative estimate that each complaint was made by a different
complainant. These estimates may be slightly on the high side, but since in every case
the numbers are low we would not expect this to have a large influence on the totals.
Using this approximation we estimate the number of complainants relating to the 25
windfarms for which we have either complainant or complaint data to be 75. The
number of complainants per windfarm varied from 1 to 9 with an average of 3. As
before, we can project the total number of complainants across the UK by assuming
this average applies to each of the two sites for which no definitive information is
available. The final result is that an estimated total of 81 households have complained
about windfarms in the UK since records began in 1991.
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Complaints per year and total complaints
Windfarm
Total
2007
2006
2005
2004
2003
2002
2001
2000
1999
1998
1997
1996
1995
1994
1993
1992
Yearof
complaints
A 3 2 1 2005
B 10 10 2005
C 1 1 1994
D 152 1 7 10 9 52 50 23 2001
E 4 3 1 2003
F 2 1 1 1996,1998
G 4 1 1 1 1 2000, 2002, 2005
H 1 2005
I before 2003
J 2 2 2005
K 7 7 2006
L 2 2 2004
M 4 1 1 1 1 1997,1998,2000,2
N 2 1 1 2002, 2006
O 1 1 2007
P 1993,1994,1995,1
Q 2001, 2002, 2003
R 1992,1993S before 1997
T
U 1 1 2006
V 1 1 2004
W 2 2 2007
X 2 2 2006
Y
Z 2 1 1 2000, 2001
AA 4 1 3 2005, 2006
No of entries 19 No of entries
No of windfarms 27 No of windfarms
% coverage 70% % coverage
Total complaints 206 4 23 32 12 53 52 24 2 0 2 1 1 0 1 0 0 Total complainant
Total less D 54 3 16 16 3 1 2 1 2 0 2 1 1 0 1 0 0 Average per wind
Ave (less D) 3.0 Total projectedTotal projected 230 *No separate information given on number of complainants, assumed same as number of c
Total proj. less A 78
136 114 95 83 75 64 56 45 40 36 31 24 18 14 7Sites on line at end of year
Table 1 Summary of complaint and complainant history data. Shading indicates the years in which complaints occurred
known. Blank entries indicate no data was available.
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Windfarm
trainnevergets
there
Distant
Helicopter
Thumping
Thuddng
Pulsating
Rythmatical
Beat
Beating
Throbbing
Lapping
Wooshing
Swish
Swoosh
Ghostlynoises
WoohWooh
Grinding
Rumbling
likemotion
sickness'
Whistling
Otherplease
listOther(describe)
A Y Y Y Y Y Y aircraft landing, dist
B Y Y Y Y Y Y YC
D Y Y Y Y Y Y Y Y Y Y train in next field, pe
E Y Y Y Y churning head
F
G
H
I
J Y Y Y Y Y Y Y mechanical
K Y Y Y Y Y Y aeroplane overhead
L Y Y low frequency droni
M Y Y Y Y Y Y Y Y
N w ne
O Y Y Y Y Y Y Y
P
Q
R
S
T
U Y Y Mechanical whine a
V Y
W
X Y Y Y Y Y Y Y Y Y Y Y Hum
Y
Z Y Y Y Y Y
AA Y like a washing mach
Table 2 Summary of detailed survey returns and analysis to determine the prevalence o
Uni
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Prevalence of AM
In this section we consider the extent to which AM may have been a factor in the
complaints. Summarised in Table 2 are the results from the part of the survey where
local authorities categorised the noise associated with each site based on
complainants descriptions. Also given in this table are columns indicating whether
the investigating environmental health officer (EHO) heard the noise, whether they
considered it a nuisance and whether they considered the noise to be consistent with
the description of AM.
In order to determine whether AM was a factor for each site we took into account
several pieces of information: the tick box descriptions of the noise, any other
description of the noise, general descriptions of the EHOs investigation, the timing of
the complaints, and in some cases a personal knowledge of the site in question. We
also considered the EHOs opinion as to whether the noise was consistent with AM,
and this information was assigned more confidence if they had heard the noise
themselves.
Columns 2-20 are the results from the tick box questions on the survey. The columns
have been arranged so that those on the left are the most likely to indicate AM, i.e.
like a train that never gets there, distant helicopter, thumping, thudding,
pulsating, thumping, rhythmical beat, and beating could be indicative of AM.
The terms on the right are generally associated with some other noise source such as
gear box noise or blade resonance.
For several sites, particularly early ones, the complaint was cause by a mechanical
fault or a gearbox and therefore AM can be excluded. Five sites (F, G, M, N and T)
were clearly stated in the returns to be in this category, and four others were possible
or probable (P, R, S and Y) on the grounds that they were early problems that have
not attracted complaints in recent years. AM was therefore not considered to be the
cause of these complaints, the only exception being site M where there were two typesof complaint, one indicating mechanical sources and the other indicating possible
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AM1. From the tick-box descriptions we also concluded that sites L and U were
unlikely to involve AM. The other descriptions given by complainants further
suggested that mechanical noise was a factor for sites J, L, N, and U. Altogether, AM
could be excluded as a factor from eleven sites on the grounds that the complaints
were about mechanical noise sources.
The penultimate column of Table 2 indicates that of the 27 sites considered, eight
EHOs said AM was not a factor, four said it was, ten did not know whether it was a
factor or not and five offered no opinion. The final column in Table 2 gives our
opinion as to whether the complaints could be associated with AM taking into account
all the information available. In all cases, except one, where the EHO had given a
clear Yes or No answer to whether AM was a feature our opinion was consistent with
theirs. The one exception was for windfarm AA where the EHOs opinion was No
but where we felt that some of the descriptions could have indicated AM. We
therefore entered this site as a Maybe.
The final tally is that AM is thought to be a factor in four cases, is not a factor in
fourteen, and eight cases are marginal. One is too recent to have sufficient information
to form an opinion and has been entered as Dont know on Table 2.
Significance of complaints
In this section we discuss the significance of the complaints by comparing statistics
for windfarms with similar statistics for other noise sources. There are two possible
ways in which to make comparison, in terms of absolute numbers of complaints, or in
terms of the relative number of installations attracting complaints.
Considering a comparison in terms of absolute numbers of complaints, the Chartered
Institute of Environmental Health (CIEH) publishes statistics annually on the number
1
This site is the only site in the UK still to employ outdated two-bladed rotors, which are known tocause greater modulation than more modern three-bladed machines. AM is therefore a potential
explanation of complaints in this case, but this does not cause concern about the future.
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of noise complaints and nuisances throughout England and Wales. A summary of
some of the results from 2004/2005 is given in Table 3.
The number of households complaining to local authorities about noise from
windfarm sites throughout the UK since 1991 has been calculated in the preceding
section as 81, which corresponds to an average of approximately 5 per year. The
number of complaints was projected as 230, an average of about 14 per year, although
we have less confidence in this figure than that for the number of complainants. From
Table 3 the number of complaints about industrial noise (probably the most
comparable category with windfarms at least in terms of the character of the noise)
was 7,522 in a year. The total number of complaints about noise was 286,872. It
should be noted that the figures from Table 3 are based on returns from 69% of local
authorities in England and Wales, whereas the figures for windfarms are from 100%
of local authorities throughout the UK (i.e. also including Scotland and Northern
Ireland), so that the comparison will tend to overstate the significance of windfarm
noise in relative terms.
Industrial
Commercial/
leisure
Domestic
Construction/
demolition
Vehiclesmachinery
andequipmentin
streets
Miscellaneous
Total
Noise incidents complained of 7.5 35.8 206.1 11.7 11.3 14.5 286.9
Nuisances 1.4 6.0 27.6 1.8 1.7 1.0 39.5
Table 3 Summary of CIEH statistics on noise complaints and confirmed nuisances (thousands)
from 2004/2005 for 69% of local authorities in England and Wales.
It is clear that complaints about noise from windfarms make up an extremely small
proportion of the total noise complaints: complaints about industrial noise exceed
those from windfarms by around three orders of magnitude, and complaints about
noise in general exceed those from windfarms by between four and five orders of
magnitude. We would stress that this does not imply that individual complaints about
windfarms are less important than about other noise sources, but rather that the scale
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of the problem in absolute terms is significantly smaller than for other categories of
noise.
Clearly a major factor in the small number of complaints relating to windfarms is the
relatively small number of sites compared to, say, industrial sites in general. It would
be interesting to make a comparison in terms of the proportion of sites of a particular
type that attract complaints. However, whilst we know from this study that about one
in five windfarms attracts complaints at some point, we do not have comparable
figures for other types of site and we are not therefore able to compare in relative
terms.
We can gain further insight into the significance of windfarm noise by looking at
nuisance statistics. We note from Table 2 that for 16 windfarm sites the local authority
considered the noise from the windfarm not to be causing a nuisance, four cases were
pending at the time of the survey, i.e. the local authority had not yet reached a formal
decision, and in only one case was the noise judged to be causing a statutory nuisance.
There are several categories of nuisance in law, and in order for a noise to be
actionable by a noise abatement notice it must be categorised as a statutory nuisance
a formal definition of which is given in the Environmental Protection Act 1990. We
confirmed that the one Yes site had been categorised by the local authority as a
statutory nuisance. For the 16 sites not considered to be causing a nuisance it can
be taken that there was also no statutory nuisance. Therefore, there is only one
confirmed case of statutory nuisance from the 17 sites for which data is available.
Note again that these figures cover a 16 year period. In comparison, Table 3 shows
that there were a total 39,508 confirmed noise nuisances in 2004/2005, of which 1,401
related to industrial noise. Again, it is clear that windfarm noise is an extremely small-
scale problem compared with other types of noise, particularly since the figures for
other sources are an underestimate for the UK as a whole as remarked earlier.
One further observation from the nuisance statistics is that the proportion of
complaints which were subsequently confirmed as causing a nuisance is smaller for
windfarms than for any of the other categories of noise as used by the CIEH and given
in Table 3. The proportion for industrial noise was about 19% in 2004/2005, and for
noise complaints in general it was about 14%. The comparable figure for windfarms is
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about 6% based on one nuisance per 17 cases for which we have firm data from Table
2. These figures could be interpreted in several ways, although one should be aware
that the number of results is too small to draw firm conclusions, and also that the
picture could change if some of the four pending cases is eventually judged a
nuisance. One possible interpretation is that expectations are higher for windfarm
noise than for other categories of noise. If so, we might speculate that the newness of
windfarms as a noise source might be a relevant factor. Another possible
interpretation might be that local authorities are somehow more lenient for windfarms
than for other categories of noise sources, although this seems unlikely since the role
of an Environmental Health Officers is to act as an independent judge. We might also
speculate that Environmental Health Officers may not have the expertise or
confidence in their experience to challenge an ETSU report and are therefore more
reluctant to declare a nuisance compared with less complex and better understood
noise sources. Again, the fact that windfarm noise is relatively recent phenomenon
could be a factor here. Several other factors might influence the decision of the
investigating officer, but these are not particular to windfarms so will not be discussed
here as they would not explain differences in the proportion of nuisances between
categories.
Comments on the use of complaint statistics
One should, of course, be cautious about placing too much reliance on data derived
purely from reported complaints. The first reason is that not everyone who is
adversely affected by a noise goes to the trouble of making a formal complaint. Thus,
complaint statistics tend to underestimate the number of people adversely affected.
This is a recognised effect, and applies to all noise sources, but to different extents.
For example there is evidence that people tend to complain less about traffic noise
than other noise sources for the same degree of annoyance because they do not feel
that it will have any effect. It seems likely that, if anything, people might be more
inclined to complain about windfarms than about other noise sources because of the
high level of publicity surrounding the issue, but we have no definitive information on
this question. Therefore, we have no basis for assuming that windfarm noise is anydifferent to, say, industrial noise in this respect.
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The second reason for caution is that there is no control on complaints: anyone may
make a complaint whether or not they have reasonable cause for dissatisfaction.
People can, and frequently do, use noise as a proxy for some other grievance, and thus
a proportion of noise complaints may be motivated by some other factor entirely.
Thus, the fact that a site receives complaints does not imply that the noise situation is
unsatisfactory. Conversely, a lack of complaints is no guarantee of a satisfactory
situation. Although we did not ask specifically about other motivations in the
questionnaire, some local authorities volunteered the view that ulterior motives were a
factor, although not necessarily the only factor, in the complaints they had received.
This was the case for three sites, and in one of these it was felt to be a strong factor.
The same conclusion may apply to other sites but we have no definitive information.
The third reason for caution is that some complaints may go direct to windfarm
operators without being recorded by local authorities. Many local authorities now
require, as part of planning permission, the operators to undertake noise monitoring
and will forward details of complaints to the operator for further investigation. If
complainants were to go directly to the operator rather than via the local authority
then some complaints may not have been recorded by the local authorities. There is no
legal requirement on the part of the operator to report noise complaints that are made
directly to them to the local authority.
In order to try to estimate the scale of this effect we carried out a telephone follow-up
to the detailed survey, in which we asked four local authorities, between them
responsible for 10 of the 27 complained-about windfarms, if they thought it likely that
they had missed many complaints. The answers were consistent. Firstly, none of the
local authorities had formal procedures by which the operator was required to forward
details of any complaints to them, and therefore they could not guarantee that they had
records of all complaints. However, all four local authorities also felt it unlikely that
many, if any, complainants had escaped their records entirely. In some cases they felt
that local residents would not know who the operator was, so would complain first to
the local environmental health department. Some felt that since they were in close and
open contact with developers to try to resolve known problems that they would have
become aware of additional complaints. Others commented that they specifically
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requested complainants to contact them again if the problem was not resolved to their
satisfaction.
Therefore, whilst it is possible that there have been some noise problems that are not
reflected in the results of the detailed survey, we consider it unlikely that significant
numbers of complainants have escaped local authority records. In any case, windfarm
noise is no different to other types of noise in this respect: for example, a complaint
about industrial noise may be directed to the operator of the site and may never
feature on local authority records, particularly if the problem is resolved. Therefore,
the comparisons with other noise sources in the previous section should be reliable.
Other factors arising from the survey
Some other possible causes of noise complaints emerged as part of this exercise.
Unrealistic expectations was thought to be a factor in at least one case, i.e. the
complainant believed that the noise would be less noticeable than it actually proved to
be. In this case the local authority considered that the complaint could possibly have
been avoided by more accurate information from the developer at the planning stage.
Another possible cause is that complaints are being prompted by planning
applications to build other sites nearby. This was mentioned as a factor in two or three
cases. In one further case the sheltered location of the complainants property was
identified as contributing to the complaint, i.e. the background noise at the property,
which normally helps to mask noise from the windfarm, does not increase when
conditions are windy at the wind farm.
Finally, for five of the sites having received complaints EHOs commented that the site
met planning conditions. In one of these cases AM was a factor, in three it was not,
and in the fifth it was possible. We do not know whether these comments indicate that
complaints were unjustified, or alternatively that planning conditions were too lenient.
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4. Further investigation of sites with AM
In the previous section the prevalence of AM in terms of the number of sites affected
was determined. In this section we evaluate in more detail the four sites for which AM
is thought to contribute to complaints, with the aim of obtaining an estimate of the
proportion of time for which AM might occur. This estimate has to be based on
complaint data, since it is beyond the scope of this project to take measurements.
Using the complaint data we can carry out the following steps:
a. obtain complaint logs;
b. determine the range of wind speed and direction prevailing at times when
complaints occur;
c. obtain continuous records of wind speed and direction occurring at the site;
d. calculate, by comparing b. and c., the proportion of the time for which the
wind conditions associated with complaints prevail.
A second aim of this section is to determine whether complaints at these sites are
historic or ongoing.
4.1. First site
For the first site, a complaints log was available giving date and time of complaints,
together with wind speed and direction. Within this five month period complaints
were registered for 61 hours out of 2510. Hourly averaged wind data from the MIDAS
Weather Station nearby were also obtained. Both the complaints and MIDAS data are
plotted on Figure 2. The high degree of agreement between the MIDAS and complaint
log data gives confidence that the data from the Weather Station are representative for
the wind farm site. Figure 3 gives the same wind direction data, plotted in a different
format: the distance from the centre of the plot indicates the proportion of the time for
which the wind was from the given direction. The purple line is from the weather
station data and shows that over the whole period the prevailing winds were fairly
evenly distributed between 150 and 340. The blue line relates to the complaints and
indicates that most complaints occur for directions around 200.
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0 20 40 60 80 100 1200
2
4
6
8
10
12
14
16
18
Time [days 17/8-27/11/2001]
Windspeed[m/s]
complaints statistics
MIDAS Weather Station
0 20 40 60 80 100 1200
50
100
150
200
250
300
350
400
Time [days 17/8-27/11/2001]
Windd
irection[deg]
complaints statistics
MIDAS Weather Station
Figure 2 Time series of wind speed (top) and direction (bottom) for MIDAS data (green line) and
data from the complaints log (blue circles) at first site.
5 1015 20
30
210
60
240
90270
120
300
150
330
180
0
Figure 3 Distribution of hourly wind direction averages at first site: % for complaints (blue solid
line); % for weather station data during the whole analysis period from Figure 2 (black dotted
line).
From the data in Figure 2 and Figure 3 we can now try to give a figure for the
proportion of time for which wind conditions associated with complaints are likely to
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arise. First, we note that complaints only occurred for wind speeds exceeding 5m/s,
which is the cut-in speed of the turbines. Second, all complaints occurred for wind
directions in the range 140 to 270, i.e. for a 130 arc encompassing southerly and
westerly directions. However, looking further at Figure 2 and Figure 3 we see that all
parts of this range are not equally important, with the majority of complaints (73%)
occurring within a narrower 40 arc between 180 and 220 (as shown by prominent
lobe in Figure 3). Wind directions within this 40 arc were consistently associated
with complaints whereas angles of between 220 and 270 were sometimes, but not
always, associated with complaints. Furthermore, when complaints occurred at the
higher values of wind direction the descriptions from the complaint logs are generally
less suggestive of AM as a cause. Thus, the 130 arc is probably conservative because
it includes conditions which do not consistently yield complaints and the complaints
do not tend to suggest AM. On the other hand, the 40 arc includes most but not all
complaints so might be slightly unconservative.
The weather station data has been analysed taking the wind conditions characteristic
of complaints to be: speed above 5m/s and direction 140 to 270 i.e. the 130 arc.
These meteorological conditions were met in 580 hours out of the 2510 hours of
monitoring, which corresponds to 23 % of the time. Taking the smaller 40 arc as
characteristic of complaints, the corresponding figure is 5.3%. As weather conditions
change with the seasons and sometimes even from year to year a period of several
years (1/1/2000-1/1/2007), was analysed for the Weather Station. The wind direction
data for this period are shown in Figure 4 and Figure 5. The identified meteorological
conditions during this period were met for 25% of the time taking the 130 arc, and
9% taking the 40 arc. If we assume that the complaints were caused exclusively by
AM then we can conclude that meteorological conditions likely to cause AM occur
for more than 9% and less than 25% of the time at this site, with the true value
probably towards the lower end of this range, say about 15% as an overall figure. We
can therefore say that the conditions associated with AM would occur on average
about one day in seven. However, it should be noted that these are average figures and
that in reality the characteristic conditions might occur quite irregularly. This is shown
in Figure 5 which plots the wind speed for periods when the wind direction was
within the 130 arc as mentioned above. It is seen that the characteristic conditions
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might occur for several days running followed by a longer period with no such
conditions.
10002000
3000
300
2100
600
2400
9002700
1200
3000
1500
3300
1800
0o
Figure 4 Distribution of hourly wind direction averages averaged over a seven year period for
first site.
Figure 5. Wind speed for the periods when AM might occur at first site, i.e. wind speed >5m/s
and direction between 140 and 270.
The final question about this site concerns whether AM is historical or ongoing. The
Local Authority for this site has reported that there have been no complaints since
2004, suggesting either that the problem has been alleviated, or that people have
become accustomed to it, or a combination of both.
4.2. Second Site
For the second site a complaints log was available prior to 2003. This site was the
subject of complaints associated with a number of wind directions, however, it was
generally agreed that AM occurred specifically for Easterly winds and for speeds
from the cut-in speed, of around 5m/s, up to 10 m/s measured at a height of 10m
above ground level. Above 10m/s (which corresponds to about 13m/s at hub height)
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the noise of wind in the trees would start to mask the sound of the wind farm. No
wind data was available for this site; generally in the UK easterly winds are relatively
uncommon suggesting that the conditions for AM would not be present most days of
the year, although there could be periods of continuous easterly winds for several days
at a time.
AM on this site was associated with three specific wind turbines. To alleviate the
problem, a turbine control system was programmed to shut down these three machines
for wind directions between 55 and 130, and for wind speeds from the cut-in speed
to a hub height wind speed of 13 m/s. The benefits of this system may be seen in the
reduction of complaints which reduced from 50 52 per year for 2002 2003 to 7
10 per year between 2004 and 2006. The residual complaints may be associated with
westerly winds rather than the easterly wind which resulted in the audible AM. We
might cautiously conclude that the AM problem on this site has been solved, or at
least substantially alleviated by these measures.
4.3. Third Site
For the third site a complaints log was available for the period when the wind farmcommenced operation to date. The log details a number of sounds that are audible at
the property. The complainant describes periods of operation when amplitude
modulation of the aerodynamic noise (AM) is clearly audible inside and outside the
building. When the AM is described, the common factor between different days is the
wind direction, which falls into a narrow range between 140 and 170, i.e. a SSE
wind tending to a Southerly wind direction.
Analysis of the historical wind rose (Figure 6), which was supplied by the wind farm
operator and which is based upon the 10 year average data supplied by the
Meteorological Office for a nearby reference site and the on-site wind speed
measurements undertaken by the developer for a one year period, indicate that this
range of wind directions would be expected to occur for 7 9% of the year. This does
not account for the range of wind speed likely to cause AM, i.e. at very low wind
speeds the turbines would not be operating and at very high wind speeds the natural
background noise would tend to mask wind turbine noise. With periods of very high
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and low wind speed removed, the average year will see the wind from this direction
for 7% of the time. We therefore conclude that the conditions likely to cause AM on
this site will be present for approximately 7% of the time. It should be mentioned that
other noise issues are also reported at this site, but these are not considered in this
report which focuses on the issue of AM.
Figure 6 Wind farm rose for third site
4.4. Fourth Site
No complaints logs were available from the fourth site from which to ascertain the
characteristic meteorological conditions, and therefore the prevalence of AM could
not be determined. Regarding the question of whether the problem has been solved,
complaint history suggests that the problem is not a continuing one since the last
complaint relating to AM was in 1998. There have been other complaints since then,
but relating to specific fault conditions (not associated with AM) which were rectified.
According to the Local Authority, AM probably does occur at this site, i.e. there is
significant modulation of the aerodynamic noise from the windfarm, but the noise
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levels are not sufficient at nearby properties to cause a significant problem.
Furthermore, the site is operating within its planning conditions, and in this respect
the Local Authority does not consider the site to be a continuing problem. Other than
regular noise monitoring the operator has not made any remedial works to the site that
would have caused the complaints to subside. Therefore, it is possible that the initial
complaints, which occurred when the site was still new, were due to the unfamiliarity
of the noise.
To conclude, whilst it appears that AM does occur at this site, it also appears to be at
most a marginal problem.
4.5. Conclusions from AM sites
To summarise, the meteorological conditions associated with AM have been assessed
for two sites, and are likely to occur between 7% and 25% of the time, although the
latter figure is on the conservative side. Of the four sites where AM was judged by the
Local Authority to be present in only one case, which is a recent installation, is there
an ongoing investigation. In two cases complaints have largely or completely
subsided, in the final case a turbine control system has been installed and, althoughthere are some ongoing complaints, AM is probably not the cause.
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5. Worldwide literature survey
The aim of the literature survey is to summarise the current scientific knowledge
about AM and immediately related subjects. Our main information sources were peer-
reviewed documents, that is reliable, independently checked sources, such as books,
government reports and journals. Where necessary, proceedings from scientific
conferences are also considered. Under the References headline we list all the
publications we have found and read but not necessarily explicitly cited in the text.
The subjects in the literature review cover how AM is accounted for in government
guidelines and regulations, how noise in general and AM in particular are generated
by wind turbines, how the immission of noise is influenced by propagation and why
psychoacoustics is important to interpret measurements and complaints correctly.
5.1. Search terms
Some thought was given to search terms since AM is not a widely recognised
phenomenon and might be reported under different names. The following English
search terms were used:
Amplitude Modulation
Aerodynamic Modulation
Modulated Noise
Wind Noise
Turbine Noise
Wind Farm Noise
Aero(-)acoustic Noise
Rotor Noise
Tonal Turbine
Fluctuating Noise
Swish.
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5.2. Information sources
The following journals were searched with the above terms.
Journals searched
1. Journal of the Acoustical Society of America
2. Journal of Sound and Vibration
3. Journal of Low Frequency Noise, Vibration and Active Control
4. Applied Acoustics
5. Technical Acoustics
6. Acoustical Science and Technology (Formerly Acoustical Society of Japan)
7. Journal of Vibration and Acoustics
8. Noise and Vibration Worldwide
9. Renewable Energy
10.Wind Energy
11.Renewable and Sustainable Energy Reviews
12.Energy
13.Journal of wind engineering and industrial aerodynamics
14.Journal of solar energy engineering
15.Applied energy
16.All relevant IEEE Journals
17.Some papers which appear as abstracts only in JASA
18.International Journal of Energy Research,
19.American Institute of Aeronautics and Astronautics Journal
20.Transactions of the ASME: Journal of Dynamic Systems Measurement and
Control and Renewable Energy.
Conference proceedings search
1. Wind Turbine Noise 2005
2. Internoise 1996
3. Euronoise 2003 & 20064. BWEA Wind Energy Conferences 1997 - 2005
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5. Forum Acusticum 2003-2006
Other Sources Found
1. Government Reports Scotland, Denmark, Wales, Sweden etc
2. Books
3. General public reports
Because there have been major wind energy developments in Germany in the recent
past, articles in German using German search terms were also searched. There are
no likely journal sources in German, and the only likely conference (DAGA) only
publishes abstracts rather than full papers. Therefore the German language search
focussed on the internet. Only two papers have been found in this way which were
from the mid 1990s and in English.
5.3. Government reports and regulations
The current British guidelines and regulations are detailed in PPS2 (2004) for
England, PAN45 (2002) for Scotland and TAN8 (2005) for Wales which can all be
traced back to ETSU-R-97 (1997). The general role of these is to define acceptable
noise levels for the protection of the population, to introduce consistent procedures for
establishing and rating noise levels and to minimise noise levels from wind turbines.
These documents were thoroughly reviewed in Hayes (2006).
Separate noise limits are applied for daytime and night-time. ETSU-R-97 indicates
that the purpose of these different noise limits is that for night-time periods, the
emphasis is on the prevention of sleep disturbance, whereas, the daytime noise limits
are to protect the amenity value of the area and of a property in particular.
The noise limits take the form of a fixed level for periods when background LA90
noise levels are very low and a margin above the background once background noise
levels increased due to wind effects. The daytime noise criterion is defined as the
greater of 35-40 dB LA90 or background + 5 dB and for the night-time period thegreater of 43 dB LA90 or background + 5 dB.
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ETSU-R-97 has summarised the issue of blade swish/AM as follows: The noise
levels recommended in this report take into account the character of noise described
as blade swish. Given that all wind turbines exhibit blade swish to a certain extent we
feel this is a common-sense approach given the current level of knowledge. The
character of blade swish is described as irregular enough to attract attention, to a
degree, turbine-dependent and dependent upon the position of the observer.
Since the publication of ETSU-R-97 a further review of European policies regarding
wind turbine noise has been carried out by Pedersen (2003). Of particular interest are
German legislation from 1999 and Dutch Legislation from 2001 as these were not
reviewed in ETSU-R-97. In German legislation different noise limits are applied to
different areas. The areas are industrial, mixed, residential and sensitive (for example,
hospitals or health resorts). In Dutch legislation wind turbine noise limits are based
upon a wind speed dependent curve which starts at 40dB (A) at night time, 50 dB (A)
during the day and 45 dB (A) during the evening. None of these regulations makes
any special allowances for AM.
5.4. Generation of wind turbine noise
There is a large body of literature relevant to noise generation by wind turbines. For
example, there are many publications concerning noise from aerofoils, propellers, fans
and helicopters which may be relevant. Fortunately, the fundamental issues for
windturbines have been summarised in two text books, and most of the following few
paragraphs are a distillation from these references.
Noise sources on wind turbines fall into two main categories: aerodynamic and
mechanical. Mechanical noise sources are primarily connected with the electrical
generation parts of the turbine, the gear box and the generator. These sources are
generally located in the nacelle. The character of the noise generated is similar to that
from other types of rotating machinery, and often includes an audible tone or note that
might be described as a whine or hum. Noise with a pronounced tonal feature isgenerally recognised to be more annoying than noise of a comparable level but with
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neutral character. This subjective effect is recognised in the ETSU guidelines where a
penalty is added which is related to the audibility of the tone. Mechanical noise was
audible from early turbine designs. On modern designs the problem has been almost
completely eliminated, although it may arise temporarily if there is a mechanical fault,
such as worn bearings within the gear box/generator, worn teeth within the gear box,
or misalignment of the generator drive shaft. This discussion of mechanical noise does
not shed light on the causes of AM noise, but it does help to interpret some of the
complaint statistics, many of which were from early turbine designs or due to a fault
condition.
Apart from occasional fault conditions creating mechanical noise, the dominant noise
generating mechanisms on modern turbines are aerodynamic. Aerodynamic sound is
generated by pressure variations within the air which fluctuate at acoustic frequencies,
i.e. between about 20 and 20,000 times per second. In wind turbines such fluctuating
pressure is caused by flow turbulence. If hypothetically the flow of air into, and over
the blades could be made completely smooth the major noise sources would
disappear. In practice, the flow is generally turbulent and so some noise generation is
inevitable.
First, air flowing into the blades due to wind is not completely smooth, but contains
turbulent eddies of a range of sizes. These eddies are ingested into the blade region
and generate inflow turbulence noise as the blades chop through them. Second, as air
flows over the surface of the blades, turbulence is generated close to the surface in the
so called boundary layer. This boundary layer turbulence generates noise, particularly
when it interacts with the trailing edge of the blade, which is therefore known as
trailing edge noise. This is often the principal noise generating mechanism on wind
turbines. Other types of turbulence are the vortices shed from the tip which generates
tip noise or from the trailing edge of the blade. Trailing edge vortices are stronger
for blunt trailing edges and the associated noise is therefore called blunt trailing edge
noise. The above four mechanisms, inflow turbulence, trailing edge noise, tip noise
and blunt trailing edge noise, account for the majority of the noise from wind turbines,
and on modern design blunt trailing edge noise is not a significant effect.
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Other types of turbulence may also generate noise, but can be avoided. A condition
known as stall may occur and indeed is used to regulate rotational speed and power
generation for some designs. This can generate noise up to 10dB higher than without
stall. However, manufacturers are increasingly tending to move away from stall-
regulated machines, particularly for machines of higher power, one of the main
reasons being the higher noise levels they generate. Another possible cause of noise is
flow over imperfections in the blade surface, for example damage due to holes in
blades has been known to cause strongly noticeable tones. For large wind turbines
with good manufacturing quality control, such imperfections would be considered a
fault condition.
The frequency of the noise generated depends on the size of the turbulent eddies;
broadly speaking large eddies produce low frequency noise and small eddies generate
higher frequencies. Mostly, the character of aerodynamic noise is broad band, i.e. it
does not contain a distinguishable note or tone, but is of more random character such
as noise from rustling leaves, waterfalls, rain etc. The dominant character of the
combined aerodynamic noise as described above is therefore a swish, which is
familiar to most people who have stood near to a large wind turbine. Blade swish is
not completely steady, but is modulated (fluctuates) at the rate at which the blades
pass a fixed point, i.e. there is a cycle of increased and then reduced level which
typically at the blade passing frequency of around once per second. In the majority of
installations the modulation depth is a few dB which is subjectively acceptable. It is
not clear why in some situations the modulation depth increases to the point where it
becomes subjectively unacceptable, and therefore potentially annoying. In early wind
turbine designs, where the rotor was positioned downwind of the tower, a pronounced
thump was caused as each blade passed through the wake shed from the tower.
However, this effect is eliminated completely for the upwind rotor designs found on
all new windfarm developments since the large scale uptake of wind energy
development in the UK, and does not therefore explain the occurrence of AM.
It seems likely that AM is due to fluctuation in the strength of some of the above
mechanisms rather than to some completely new mechanism. Aerodynamic noise
generation depends primarily on the rotor tip speed, but there is also some dependence
on wind speed. Therefore, if wind speed is not even across the rotor plane then some
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fluctuation in level can be expected as the blade turns. Van den Berg has investigated
this possibility and has postulated that in stable atmospheric conditions the difference
in wind speed between the top and bottom of the rotor is relatively high. Therefore,
the wind speed seen by a blade varies cyclically, which in turn may cause the noise
level to vary once per revolution. This work is discussed in more detail in the next
section.
Sound generation by turbulence is a highly complicated phenomenon that is still not
completely understood despite a great deal of research into noise from fans, aircraft,
and propellers, and great advances since the 1950s. Mathematical models for
turbulence and turbulence generated noise have been developed but not to the stage
where reliable prediction is possible from the drawing board. The occurrence of AM
implies that fluctuations are occurring in the generating mechanisms, and the causes
of such variations are still less well understood. There are no existing models by
which AM can be predicted.
5.5. Propagation of wind turbine noise
In general noise propagation from wind turbines is determined by source directivity,
geometric spreading and atmospheric absorption, ground reflections and absorption,
meteorological effects and terrain complexity. The audibility of noise from wind
turbines is then determined by the ratio between turbine and background noise, the so-
called masking effect.
According to Oerlemans and Lopez (2005) AM noise from wind turbines is not
equally loud in all directions but is radiated primarily from the outer part of the
downward moving blade in the downward direction. This is the reason that AM noise
can often be heard underneath the turbine but not further away because at a
considerable distance the recipient is more in line with the horizontally propagated
weaker noise.
This directional sound is then spreading as it travels away from the turbine. The socalled geometric spreading decreases sound levels with increasing distance from any
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source. Atmospheric absorption also reduces the sound level with distance but is more
effective at high frequencies with the consequence that low frequency sound travels
further.
The main influence of meteorology is the change in sound speed profile due to wind
shear and temperature profiles which is well described in Wagner et al. (1996). Most
pronounced is the shadow zone upwind of the noise source and the increased noise
levels in the down wind direction. In extreme inversion conditions sound rays from
elevated sources can be bent back down to the ground downwind and create focussing
effects at considerable distances from the sound source resulting in slightly enhanced
noise immission relative to no-wind, no-inversion conditions (e.g. ISVR, 1991)..
To predict noise levels from wind turbines the wind speed is measured at 10 m height.
Using a typical wind profile for neutral atmospheric conditions the wind speed is then
extrapolated to hub height. In situations with large wind shear low wind speed near
the ground and high wind speed at hub height the background noise created for
example by vegetation noise close to the ground is small. The turbine blades
experience a higher wind speed resulting in unexpectedly high aerodynamic noise
levels. The lack of background noise then leaves the turbine noise more audible.
Several authors report this reduction of the masking effect (Harders and Albrecht,
2005, Sloth, 2005, Golec and Golec, 2005, van den Berg 2003, 2004, 2005a). Both
Klug (2005) and van den Berg (2003, 2004, 2005, 2005a, 2005b) find that high wind
shear situations occur frequently during the night time in so called stable atmospheric
conditions.
Because of its complex nature, the most debated meteorological influence on outdoor
sound propagation is that from atmospheric turbulence. In the noise shadow,
turbulence can lead to enhanced noise levels (Wilson 2000) compared to the high
levels of attenuation normally found upwind of a noise source. It also spreads the
sound more widely leading to a net-attenuation of highly directional noise (Salomons,
1994).
Many wind farms in countries like The Netherlands and Germany are situated in very
flat terrain with no obstacles to influence sound propagation between the turbines and
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the immission sites. In the UK many sites are a lot more complex than that; partly in
hilly or even mountainous terrain or in the middle of a forest. For these sites the sound
propagation becomes a lot more complicated too. Bolin (2005) dedicates an entire
publication to the systematic deployment of vegetation noise to mask turbine noise.
Apart from absorption and reflections from obstacles which attenuate and enhance
noise respectively, complex terrain also provides obstacles that act as a noise screen
(Jacobsen, 2005, Prospathopoulos and Voutsinas, 2006). This effect is frequency
dependent. If the size of the obstacle is a lot bigger than the wavelength it is an
effective screen. For very low frequencies and small objects this is not always the case
(Jacobsen, 2005).
One propagation phenomenon relating to AM noise is not yet well understood: In
some situations AM noise seems to travel and can be heard at a considerable distance
from the turbines. First explanation attempts have been published by van den Berg
(2003, 2004, 2005) and it appears likely that a combination of generation and
propagation mechanisms is responsible for this effect. Further studies are needed to
explain and predict the observed noise levels.
5.6. Amplitude Modulation of Wind Turbine
Aerodynamic Noise
Amplitude modulation of the noise associated with the operation of wind turbines was
identified within the Report The measurement of low frequency noise at three UK
wind farms: URN No: 06/1412 issued by the DTI in July 2006. Within the
conclusions of this report, the following were identified:
Infrasound associated with modern wind turbines is not a source which
will result in noise levels which may injurious to the health of a wind farm
neighbour;
Low frequency noise was measurable on a few occasions, but below the
existing permitted Night Time Noise Criterion;
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That the common cause of complaint was not associated with LFN, but the
occasional audible modulation of aerodynamic noise, especially at night.
The measurements undertaken and reported within the DTI Report identified periods
during wind turbine operation when noise associated with the operation of the wind
turbines varied in level at the blade passage frequency2
of the wind turbines. When
this variation in the noise associated with the operation of the wind turbines was noted
by neighbouring residents, it was described as a distant train or distant piling.
Measurements of the internal noise levels during these periods of wind farm operation
indicate that A-weighted noise levels are subject to amplitude modulation levels of
between 3 5 dB(A). Analysis of these periods using third octave band analysis
indicates that between 200 800 Hz, noise levels in specific frequency bands may
change between 8 10 dB. External measurements indicate that, for external A-
weighted changes in level of 3 4 dB(A), third octave band levels may change by
between 7 9 dB. Measurements reported for Wind Farm D (Table 1) have indicated
that third octave band levels when complaints were received before the
implementation of wind turbine control features, indicated level changes of 1215dB.
(All the above figures are ranges from peak to trough).
The finding that this modulation is concentrated between the frequency bands of 200
800 Hz is significant in that this is generally generated by the trailing edge of a wind
turbine blade. This has been identified as one of the main sources of aerodynamic
noise associated with the operation of wind turbines (Oerlemans and Lopez, 2005).
Trailing edge noise was identified by van den Berg (2006) as the most likely source of
the modulation which he observed at a wind farm on the Dutch/Germany border.
However, van den Berg postulates that the increased levels of modulation which he
observed were associated with the change in the aerodynamic environment seen by a
wind turbine blade as it passes in front of the wind turbine tower. He postulates that
when the turbine is at this point, a decrease in the wind speed associated with the
2 Blade passage frequency is the frequency at which the wind turbine blades pass a fixed point on the
wind turbine rotor, typically assumed to be the wind turbine support tower. For a wind turbineoperating at 30 rpm, with a three bladed rotor, this would equate to 90 blade passes a minute, or a blade
passage frequency of 1.5 Hz.
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presence of the tower will result in a change in the aerodynamic properties and
therefore the noise generated by the wind turbine. Van den Berg considers that this is
exacerbated by the increased atmospheric stability which occurs for his test site
during the night hours. With increased atmospheric stability, the wind speed seen at
the hub height of the wind turbine may be appreciably higher than that found at the
lowest part of the rotor path, which is also where the effect of flow disturbance around
the support tower is felt. Van den Bergs analysis indicated that the maximum change
in noise levels based upon these conditions was from 2 1 dB for neutral conditions
increasing to 4.8 1.7 dB for very stable atmospheric conditions. To achieve the
levels of modulation that van den Berg measured on the faade of neighbouring
dwellings, he suggests that multiple sources have added together to obtain increased
levels of modulation which phase in and out to give increased periods of
modulation of the aerodynamic noise.
However, measurement of the aerodynamic noise sources within Oerlemans and
Lopez (2005) indicate that the tower/blade interaction is a source which is at least 12
dB below that associated with the downward sweep of the turbine blade. It is
recognised that these measurements were undertaken in neutral atmospheric
conditions for a location relatively close to the wind turbine, however, there is almost
no indication of the presence of the wind turbine tower within the data. Therefore, the
effect of the tower on an upwind wind turbine noise emission character as postulated
by van den Berg is not borne out by measurements in the field.
Measurements of wind farm noise at sites in the UK indicate that where a wind farm
has periods of increased AM, these are not necessarily related to periods of high wind
shear. Wind Farm Site D, for example (see Table 1 above), is subject to periods of
increased amplitude modulation when the wind is blowing from the east. An easterly
wind does not increase the stability of the atmosphere seen by the wind turbines as
this noise is associated with day and night-time operations, however, topographical
effects result in some wind turbines being unsure as to the wind direction. This is
caused by the wind turbine wind vane being influenced by the wind direction at the
hub height of the rotor but the wind direction at the lower arc of the rotor may be from
a different direction. When specific wind turbines are stopped from operating the
modulation all but disappears. Wind speed measurements from tall free-standing
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anemometer masts located atop hills indicate that there is little change in atmospheric
stability between the day and night-time periods. However, locations in flat
landscapes do indicate an increase in the wind shear which is associated with stable
atmospheric conditionsbut not to the level described by van den Berg (2006).
On the basis of the above discussion, it is clear that the observed effects of amplitude
modulation which is sufficient in level to initiate complaints associated with this
acoustic feature is still not understood in sufficient detail to provide design guidelines
to minimise the potential for such a feature and is also still subject to debate.
5.7. Psychoacoustics
There are two sets of psychoacoustic related literature which are of interest when
considering the problem of AM noise emissions from wind farms; those which
examine the effect of modulated noise on listeners and those which examine
psychoacoustic phenomena directly caused by wind farms.
The perception of loudness is described in Moore (2004). The perceived loudness of a
sound is found to be dependent upon intensity and frequency content. It is also
different for different listeners. For wideband noise the smallest detectable amplitude
change amounts to 0.5-1 dB depending upon the sensitivity of the listener.
The effect of amplitude modulation within diesel locomotive noise with respect to the
annoyance it causes for humans is examined in Kanteralis and Walker (1988). It was
found through subjective tests that the noise from a diesel locomotive type was rated
as being annoying compared to an electric type locomotive despite both having
similar low frequency content. The testing was carried out in a situation which
replicates the listening conditions of a typical living room. The difference in
annoyance was found to be related to a pulsing effect or amplitude modulation in the
diesel engine case that occurred at the firing frequency of the diesel engine. The
authors comment that if the modulation frequency is increased above 12 Hz the
annoyance is decreased. However, as typical wind turbine blade passing frequencies
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are of the order of 1Hz this does not give much insight into the situation for wind
turbine noise.
In a paper on the annoyance and known psychoacoustic effects for wind turbine noise
Persson-Waye and Ohstrom (2002) report how the character of the noise from wind
turbines built by five different companies is perceived by a small number of listeners.
They conclude that levels of annoyance cannot be explained by the psychoacoustic
parameters loudness, sharpness, fluctuation strength and modulation. Several studies,
including Pedersen (2003), mention that although there is correlation between
annoyance levels and sound levels, the annoyance is also influenced by visual factors
and attitude to wind turbines.
Three publications by Pedersen and Persson-Waye (2004, 2005,